Category: Events

Safer self-driving car tests with NVIDIA Drive Constellation

A number of self-driving cars sporting NVIDIA’s autonomous driving technologies were present at GPU Technology Conference in San Jose this week. However, none was available for a test drive — a sensible move by NVIDIA in the light of the fatal Uber self-driving car accident the week before.

NVIDIA DGX-2: Insanely powerful

NVIDIA CEO Jensen Huang (above) dubbed it the “world’s biggest GPU”. And he certainly wasn’t kidding as the NVIDIA DGX-2 is a massive 350-pounder that delivers an amazing two petaflops of computational power.

Something old, something new

The telecommunications industry, specifically mobile communications, is converging in Barcelona this week. Even before Mobile World Congress (MWC) kicks off today, two companies have fired the first salvo with something old, something new.

Emtech Asia: AI, quantum computing and more

Leonard wants to see more research become productised and commercialised.
Leonard wants to see more research become productised and commercialised.

Marina Bay Sands Expo and Convention Centre was a hive of activities of a different sort as more than 700 technologists from 21 countries converged for EmTech Asia on January 30 and 31.

Spectre of a Meltdown

Maybe James Bond can help to deal with the security issues.

In a week where the world’s eyes were supposed to be focusing on the exciting new gadgets and technologies coming out at CES 2018, it was news from past technologies that had the world reeling.

Keysight and SUTD to advance electronic measurement research

S Iswaran, Singapore’s Minister for Trade and Industry (Industry),  witnessed the MOU signing between Gooi Soon Chai (left), President of Keysight’s Electronic Industrial Solutions Group and Senior Vice president, Keysight Technologies Inc., and Professor Thomas Magnanti (right),

Keysight Technologies and Singapore University of Technology and Design (SUTD) have inked a Memorandum of Understanding (MOU) for research collaboration and opened the new Measurement Technologies Laboratory.

NVIDIA Tesla V100 gains widespread acceptance

NVIDIA’s Volta architecture is leaving quite an impression. According to a NVIDIA press release issued at SC17, the Volta-based NVIDIA Tesla V100 GPU is available through every major computer maker and chosen by every major cloud to deliver artificial intelligence (AI) and high performance computing.

Short cut to A-

An Asean scholar disgruntled with his grades hacked his professor’s account to bump himself from B to A-. The Singapore Management University (SMU) student was soon found out and will be spending four months in prison reflecting on his folly.

Singapore’s AI agenda gets double boost!

NVIDIA Fellow Dr David Kirk
NVIDIA Fellow Dr David Kirk delivers the keynote address at the NVIDIA AI Conference.

Singapore’s aim to be an artificial intelligence (AI) hub has been boosted with two initiatives — the setting up of a shared AI platform for researchers and the awarding of scholarships to develop AI talents.

At the NVIDIA AI Conference in Singapore yesterday, NVIDIA and Singapore’s National Supercomputing Centre (NSCC) agreed to establish a platform to bolster AI capabilities among its academic, research and industry stakeholders and in support of AI Singapore (AISG), a national programme set up in May to drive AI adoption, research and innovation in Singapore.

Called AI.Platform@NSCC, it will provide AI training, technical expertise and computing services to AISG, which brings together all Singapore-based research and tertiary institutions, including the National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore University of Design and Technology (SUTD), Singapore Management University (SMU), as well as research institutions in the Agency for Science, Technology and Research (A*STAR).

Tantalising line-up of speakers at NVIDIA AI Conference

More than 1,000 participants attending the NVIDIA AI Conference in Singapore next week are in for a treat as the organisers are bringing in a tantalising line-up of speakers.

The two keynote speakers are Dr David B Kirk, NVIDIA Fellow and inventor of more than 60 patents and patent applications relating to graphics design; and Dr Wanli Min, AI scientist of Alibaba Cloud, who will touch on A Revolutionary Road to Data Intelligence.

Besides these two, there are special guest-of-honour Chng Kai Fong, Managing Director of Singapore’s Economic Development Board, and a panel discussion on AI for the Future of Singapore Economy.

Robotaxis on the way

No steering wheels, pedals or mirrors. Sounds like science fiction but the fully autonomous robotaxi is on its way with the launch of a new system that NVIDIA has codenamed Pegasus.

Pegasus extends the NVIDIA Drive PX AI computing platform to handle Level 5 driverless vehicles. NVIDIA DRIVE PX Pegasus delivers over 320 trillion operations per second — more than 10 times the performance of its predecessor, NVIDIA DRIVE PX 2, announced Jensen Huang, Founder and CEO of NVIDIA at his keynote address at GTC Europe in Munich.

Robotaxis powered by NVIDIA DRIVE PX Pegasus will have interiors that feel like a living room and arrive on demand to safely whisk passengers to their destinations, bringing mobility to everyone, including the elderly and disabled.

China’s tech giants bet on NVIDIA Volta

China’s top technology companies are betting big on the NVIDIA Volta platform.

Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures to accelerate AI for a broad range of enterprise and consumer applications.

At the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU. Built with 21 billion transistors, it provides a 5x improvement over the preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering the equivalent performance of 100 CPUs for deep learning. This performance surpasses by 4x the improvements that Moore’s law would have predicted over the same period of time.

Inspur, Lenovo and Huawei are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres. Using HGX as a starter “recipe,” original equipment manufacturer and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.

NVIDIA to hold first AI-focused conference in Singapore in October

With artificial intelligence (AI) being a hot topic this year, NVIDIA is organising its first AI-focused regional conference in Singapore on October 23 and 24.

The event will be held in two parts with the first day focusing on Deep Learning Institute (DLI) workshop where participants will received hands-on training on deep learningl and the second day filled with keynote addresses, panel discussion and three tracks. It is targeted at data scientists and senior decision makers in the field of AI in both public and private sectors.

“Singapore is aiming to be the world’s first smart nation and AI is playing a critical role. NVIDIA is well positioned to help drive the government’s Smart Nation initiative with the development of solutions based on AI. Our GPUs are making headlines across the world by enabling many breakthroughs in various industries using deep learning,” said Raymond Teh, Vice President of APAC sales and marketing at NVIDIA.

NVIDIA and Indonesia university set up first AI R&D centre in Jakarta

Launch completed (from left): Raymond Teh of NVIDIA, Sanny Hadinata of Tech Data, Bernard Gunawan of BINUS Nusantara, Hengkie Kastono of HPE, Bens Pardamean of BINUS, and Bahtiar Saleh Abbas of BINUS.

NVIDIA has teamed up with BINUS University and Kinetica to establish the first artificial intelligence (AI) research and development (R&D) centre in Indonesia.

Located at the university’s Anggrek Campus, the centre will support BINUS University’s aim to be the premier R&D hub for Al in Indonesia. Leveraging the power of NVIDIA’s GPUs, it will be a showcase of the commercial potential of GPU-accelerated deep learning applications.

“Today, we stand at the beginning of the AI computing era, ignited by a new computing model, GPU deep learning. This new model — where deep neural networks are trained to recognise patterns from massive amounts of data — has proven to be ‘unreasonably’ effective at solving some of the most complex problems in computer science. In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionise every industry. NVIDIA provides the products and solutions to power this revolution,” said Raymond Teh, Vice President of APAC Sales and Marketing of NVIDIA.

ICML: Gathering of the brightest in AI

“I’m amazed at the quality of the papers presented. The project teams’ line of thinking and breakthrough concepts are refreshing,” exclaimed a leading artificial intelligence (AI) scientist at the International Conference on Machine Learning (ICML) in Sydney.

International Convention Centre Sydney was a massive hive of activities as 3,000 of the world’s top researchers, developers and students in AI gathered for ICML. The participants moved rapidly from one workshop to another and took great interest in the exhibition booths of top deep learning proponents such as NVIDIA, Google and Facebook.

With so many bright young talents. the event proved to be a good fishing ground for vendors as they held recruitment interviews at their booths, as well as posted openings on the board.

NVIDIA Tesla V100 surprise for world’s top AI researchers

Fifteen top AI research institutions of the NVIDIA AI Labs programmes were each presented with the Volta-based NVIDIA Tesla V100 GPU accelerator.

They were participating in Computer Vision and Pattern Recognition (CVPR) conference in Honolulu.

“AI is the most powerful technology force that we have ever known. I’ve seen everything. I’ve seen the coming and going of the client-server revolution. I’ve seen the coming and going of the PC revolution. Absolutely nothing compares,” said Jensen Huang, CEO of NVIDIA.

AI takes centrestage at ICML in Sydney

NVIDIA is bringing its wealth of artificial intelligence (AI) solutions and expertise to the International Conference on Machine Learning (ICML) in Sydney.

Held at Sydney International Convention Centre from August 6 to 11, the event is expected to attract up to 3,000 participants, primarily faculty, researchers and PhD students in machine learning, data science, data mining, AI, statistics, and related fields.

The NVIDIA booth (Level 2, The Gallery, Booth #4) will feature many firsts in Australia, such as demos on 4K style transfer, a deep neural network to extract a specific artistic style from a source painting, and then synthesises this information with the content of a separate video; self-driving auto using the Drive PX2 AI car computing platform; Deepstream SDK that simplifies development of high performance video analytics applications powered by deep learning; and NVIDIA Isaac, the AI-based software platform lets developers train virtual robots using detailed and highly realistic test scenarios.

Beat traffic jam with new Audi A8

At the inaugural Audi Summit in Spain, Audi revealed that its flagship 2018 A8 features a multitude of high-tech wizardry powered by NVIDIA.

“The car of the future will make its occupants’ life easier with the help of artificial intelligence (AI),” declared Rupert Stadler, Chairman of the Board of Audi, as he introduced such A8 features as Audi AI Traffic Jam Pilot, Remote Park Pilot, Natural Voice Control and Swarm Intelligence.

The A8 is packed with NVIDIA powered systems, including revolutionary new user interfaces, a new infotainment system, a new virtual cockpit, and new rear seat entertainment options.

NVIDIA invests in Deep Instinct

NVIDIA is investing in Deep Instinct, an Israeli-based startup that uses deep learning to thwart cyber attacks.

Deep Instinct uses a GPU-based neural network and CUDA to achieve 99 percent detection rates, compared with about 80 percent detection from conventional cyber security software. Its software can automatically detect and defeat the most advanced cyber attacks.

“Deep Instinct is an emerging leader in applying GPU-powered AI through deep learning to address cybersecurity, a field ripe for disruption as enterprise customers migrate away from traditional solutions. We’re excited to work together with Deep Instinct to advance this important field,” said Jeff Herbst, Vice President of Business Development of NVIDIA.

Volvo, Autoliv to roll out NVIDIA-based self-driving cars by 2021

Volvo Cars and Autoliv are teaming up with NVIDIA to develop advanced systems and software for AI self-driving cars. The three companies will work together along with Zenuity — a newly-formed automotive software development joint venture equally owned by Volvo Cars and Autoliv — to develop next-generation self-driving car technologies.

Production vehicles built on the NVIDIA DRIVE PX car computing platform are planned for sale by 2021.

“Artificial intelligence (AI) is the essential tool for solving the incredibly demanding challenge of autonomous driving. We are building on our earlier collaboration with Volvo to create production vehicles that will make driving safer, lead to greener cities and reduce congestion on our roads,” said  Jensen Huang, Founder and CEO of NVIDIA, at a keynote address at  Automobil Elektronik Kongress.

Taiwan: Home of GeForce!

At the keynote of NVIDIA AI Forum, NVIDIA CEO and Founder Jensen Huang called “Taiwan is the home of NVIDIA’s GeForce system”.

Video gaming is a US$100 billion industry and “GeForce PC gaming is the number one platform, nearly 200 million GeForce installed base,” declared Huang.

He announced the new NVIDIA Max-Q platform which lets gaming notebook makers produce faster, slimmer and quieter machines.

Singapore to focus on 4 technology areas

Singapore will be focusing on four technology areas to build the foundation for its digital transformation. These are artificial intelligence (AI) and data science, cybersecurity, immersive media, and Internet of Things and future communications infrastructure.

At the opening of Infocomm Media Business Exchange at Marina Bay Sands Singapore Convention Centre, Minister for Communications and Information Dr Yaacob Ibrahim noted that “they are exciting fields with bright prospects in their own right, and they have great potential to transform other industries and enhance people’s lives”.

Artificial Intelligence and Data Science
The nation has established AI.SG, a national programme with funding of up to S$150 million to boost Singapore’s AI capabilities.

Deeper into AI

The keynote address at Google I/O yesterday showed that Google is much more than just a search company. It is becoming more artificial intelligence (AI). Google is specifically using deep learning to help in many areas of everyday life.

 

Here are some as shared on Google’s blog post:

Google Assistant can help answer your questions and find information—but it can also help you get all kinds of useful things done. Today we’re adding a few more:

  • Schedule new calendar appointments and create reminders. Starting today on Google Home, you can schedule appointments and soon you’ll also be able to add reminders. Since it’s the same Google Assistant across devices, you’ll be able to get a reminder at home or on the go.
  • Make your home smarter. We now have 70+ smart home partners supporting the Google Assistant across Google Home and Android phones, including August locks, TP-Link, Honeywell, Logitech, and LG.

Enhancing public safety

Motorola Solutions has unveiled highly advanced technology solutions to enhance the capabilities of nation-wide public safety networks at Critical Communications World 2017 in Hong Kong. These include mission-critical radio technologies, specialised software, mission critical broadband, command […]

Toyota cruises with NVIDIA Drive PX2

Prime mover powered by NVIDIA Drive PX2.

Toyota, one of the world’s largest automakers and renowned for its high standards and priority on safety, has picked NVIDIA Drive PX for its autonomous vehicles. It will use the AI car computer platform to power advanced autonomous driving systems planned for market introduction within the next few years

Engineering teams from the two companies are already developing sophisticated software that will enhance the capabilities of Toyota vehicles, enabling them to better understand the massive volume of data generated by sensors on the car, and to handle the broad spectrum of autonomous driving situations.

“Toyota has worked on autonomous driving technologies for over 20 years with the aim of reducing traffic fatalities to zero as an ultimate goal, achieving smoother traffic, and providing mobility for all. Through this collaboration, we intend to accelerate the development of autonomous driving systems that are even more safe and capable,” said Ken Koibuchi, Executive General Manager of Toyota.

Finally, the Big Bang for AI!

I am AI opening video at GTC 2017 keynote.

Artificial intelligence (AI) is not new. In fact, it has so many false starts over the past 60 years. The term went into hibernation for a long time.

Research into AI began way back in Dartmouth College in 1956 and was constantly associated with being the next frontier in the 1980s when mainframe computers ruled and supercomputers were a ginormous investment that very few could afford.

Despite the research put in over the years, the technology never quite took off and fell flat in many instances.

Voila, Volta!

NVIDIA CEO Jensen Huang announcing Tesla V100.

NVIDIA has pulled yet another trick out of its always-filled hat of technology goodies with the launch of Volta, the world’s most powerful GPU computing architecture. At his keynote address at GTC in San Jose, NVIDIA CEO Jensen Huang dubbed it “the next level of computer projects”.

Volta is created to drive the next wave of advancement in artificial intelligence (AI) and high performance computing.

The first Volta-based processor is the NVIDIA Tesla V100 data centre GPU, which brings extraordinary speed and scalability for AI inferencing and training, as well as for accelerating HPC and graphics workloads.

NVIDIA to train 100,000 deep learning developers this year

Greg Estes of NVIDIA (left) addressing the global media at a press conference at GTC.

Interest in deep learning is growing so strongly that NVIDIA expects to train 100,000 developers this year — that’s 10 times more than last year —through its Deep Learning Institute (DLI).

According to research firm IDC, 80 percent of all applications will have an artificial intelligence (AI) component by 2020.

Greg Estes, Vice President of Developer Programs at NVIDIA, noted that there is a hunger for deep learning training. He cited the example of a DLI training at India Institute of Technology (IIT) in India where people came at 7.30am to try to sign up for a fully subscribed course.

Caffe2, anyone?

Facebook is developing new artificial intelligent (AI) systems to help manage the vast amount of information — such as text, images and videos — generated daily so people can better understand the world and communicate more effectively, even as the volume of information increases.

It has worked with NVIDIA on Caffe2, a new AI deep learning framework that allows developers and researchers to create large-scale distributed training scenarios and build machine learning applications for edge devices.

Providing AI-powered services on mobile is a complex data processing task that must happen within the blink of an eye. Increasingly, the processing of lightning-fast AI services requires GPU-accelerated computing, such as that offered by Facebook’s Big Basin servers, as well as highly optimised deep learning software that can leverage the full capability of the accelerated hardware.

No more IDF

After nearly two decades, Intel has decided to bring the curtains down on its annual Intel Developer Forum(IDF). Even the China edition has been canned. A highly anticipated and popular event, IDF was the platform […]

Rise of accelerated computing in data centres

Can’t say this was unexpected as NVIDIA retorts Google’s claim that its custom ASIC Tensor Processing Unit (TPU) was up to 30 times faster than CPUs and NVIDIA’s K80 G for inferencing workloads.

NVIDIA pointed out that Google’s  TPU paper has drawn a clear conclusion – without accelerated computing, the scale-out of AI is simply not practical.

The role of data centres has changed considerably in today’s economy. Instead of just serving web pages, advertising and video content, data centres are now recognising voices, detecting images in video streams and connecting users with information they need when they need it.

NVIDIA DGX SATURNV ranked most efficient supercomputer

nvidia_dgx_saturnvNVIDIA’s new DGX SATURNV supercomputer is ranked the world’s most efficient — and 28th fastest overall — on the latest Top500 list of supercomputers.

Powered by new Tesla P100 GPUs, it delivers 9.46 gigaflops/watt — a 42 percent improvement from the 6.67 gigaflops/watt delivered by the most efficient machine on the Top500 list released last June.

Compared with a supercomputer of similar performance, the Camphore 2 system, which is powered by Xeon Phi Knights Landing, SATURNV is 2.3x more energy efficient.hat efficiency is key to building machines capable of reaching exascale speeds — that’s 1 quintillion, or 1 billion billion, floating-point operations per second. Such a machine could help design efficient new combustion engines, model clean-burning fusion reactors, and achieve new breakthroughs in medical research.

Move aside content. Culture is king!

20161110_094140_1478850013151In the age of the Internet, it is widely believed that content is king.

However, US strategist and serial entreprenuer Richard Nash (above) thinks otherwise. He believes that the 21st century will be about sorting demand and culture is king, not content.

At his keynote address at StoryDrive Asia, Nash said the book publishing industry should start modelling itself as a service, rather than a manufacturing business.

Inaugural StoryDrive Asia to focus on transmedia

assassins-creed-unitySingapore Book Publishers Association and Frankfurt Book Fair organiser Frankfurter Buchmesse GmbH are putting together the inaugural StoryDrive Asia, a symposium for angel investors, incubators and professionals in publishing, software and gaming, photography and filmmaking and digital media.

The focus is on transmedia, which is about storytelling across media. For example, The Assassin’s Creed is more than just a computer game. It’s also a novel, comic book as well as a movie that’s slated for release on December 21. That’s transmedia, which is gaining traction across the globe.

“It’s a very exciting moment for publishing in Asia, especially in Southeast Asia, where media are interrelating in new and fascinating ways, and local content is getting better and better. And even as transmedia trends take root, our industry and local stakeholders have realised the importance of promoting the reading habit in this new media environment. We believe the best way to capture these trends, and reinforce Singapore’s role as a hub for IP and the media industry, is to partner with Frankfurter Buchmesse GmbH for a new kind of event: StoryDrive Asia,” said Peter Schoppert, President, Singapore Book Publishers Association.

ZTE releases Pre5G massive MIMO solution

ZTEZTE has released its latest Pre5G massive multiple-input multiple-output (MIMO) 2.0 solution at the 2016 China International Information and Communication Exhibition held in Beijing.

This new version is aimed at the high-end marketplace to help operators in the existing developed market meet the dual challenge of surging traffic demand, combined with limits on spectrum resource. With this new-generation product, single-station spectrum efficiency can be greatly improved and existing 4G user terminals can also benefit from the ultra-speed broadband experience without the need to change their mobile phones.

This new-generation massive MIMO 2.0 product is smaller in size, with 16-stream spatial division multiplexing, multi-carrier aggregation, and support for smooth evolution. The product can be flexibly deployed with support for two deployment modes: distribution and integration, to meet different requirement scenarios.

Baidu and NVIDIA team up on self-driving car

NVIDIA CEO Jen-Hsun Huang makes the announcement at Baidu World Conference in Beijing.
NVIDIA CEO Jen-Hsun Huang makes the announcement at Baidu World Conference in Beijing.

Baidu and NVIDIA are partnering to leverage artificial intelligence (AI) to create a cloud-to-car autonomous car platform for Chinese and global car makers. The partnership combines Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control and automated parking.

Baidu CEO Robin Li and NVIDIA CEO Jen-Hsun Huang announced the collaboration at Baidu World Conference in Beijing yesterday.

“We’re going to bring together the technical capabilities and the expertise in AI and the scale of two world-class AI companies to build the self-driving car architecture from end-to-end, from top-to-bottom, from the cloud to the car,” said Huang .

NVIDIA brings GeForce 10-series GPUs to notebooks

20160809_101732
NVIDIA Technical Marketing Manager John Gillooly (front left) and GeForce Product Manager Gaurav Agarwal addressing the gathering of APAC editors in Bangkok.

Hot on the heels of its recently-launched GeForce 10-series, NVIDIA has brought that same Pascal generation of GeForce power and performance to notebooks.

At an APAC Editors’ Day held in Bangkok, NVIDIA shared the capabilities that these notebook GPUs bring as well as gave the editors an opportunity to try out the virtual reality features on HTC Vive headsets.

The new GeForce GTX 1080, 1070 and 1060 GPUs for notebooks, providing gamers with a quantum leap forward in performance and power efficiency on the world’s fastest-growing gaming platform.

VR takes centre stage at Computex

NVIDIA Experience CentreVirtual reality (VR) was the talk of the town at Computex in Taipei a couple of weeks ago.

At the NVIDIA Experience Centre in Grand Hyatt Taipei, a never-ending queue of people waited for the opportunity to check out VR demos powered by the newly-launched NVIDIA GeForce GTX 1080 GPUs.

In the halls — both at TWTC and Nangang — many exhibitors were up in force with their own flavours of VR. At one booth, a visitor put on a harness to try virtual parachuting while in several others, they checked out virtual Grand Prix racing and other demos.

NVIDIA scores perfect 10 with new GPU!

1080 fastAfter weeks, if not months of rumours and false predictions, the announcement was finally made. NVIDIA finally revealed the much-awaited Pascal-based NVIDIA GeForce 1080.

What the rumours got correct was the new name of the card. What they missed was the launch date, which NVIDIA kept close to its hearts until CEO Jen-Hsun Huang made the announcement at a specially-gathered press event in Austin on Friday evening (Saturday morning Singapore time).

According to Huang, NVIDIA spent billions in research and development of Pascal and the new GPU.

Computex introduces InnoVEX to showcase ICT and IoT innovators

InnoVEXComputex will introduce InnoVEX, a platform to showcase infocomm technology (ICT) and Internet of Things (IoT) innovators. Around 170 startups from 17 countries have already signed up to showcase their latest innovative products and services.

At InnoVEX, along with out-of-the-box, open booths and networking spaces, a wide range of events designed to maximise innovative, technological, and investment exchanges to help startups succeed, including forums, demos, matchmaking, networking events, and pitch contests with a cash prize of US$30,000.

The show will be held at Taipei World Trade Center (TWTC) Exhibition Hall 3 from May 31 to June 2. Diverse activities such as keynote speech, forums, demo, pitch contest, and networking parties will be held throughout the show.

NVIDIA unveils world’s first deep learning supercomputer

NVIDIA DGX-1

At his opening keynote address at GTC in San Jose, Jen-Hsun Huang, CEO of NVIDIA made a slew of announcements, including the world’s first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence (AI).

As the first system designed specifically for deep learning, the NVIDIA DGX-1 comes fully integrated with hardware, deep learning software and development tools for quick, easy deployment. It is a turnkey system that contains a new generation of GPU accelerators, delivering the equivalent throughput of 250 x86 servers.

The DGX-1 deep learning system enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of intelligent machines that learn, see and perceive the world as humans do. It delivers unprecedented levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.

GTC to kick off tomorrow with live webcast of keynotes

GTC 2016News of an impending new NVIDIA GeForce graphics card based on next generation Pascal technology have been circulating wildly over the past few weeks.

And many are waiting with great anticipation of confirmation by NVIDIA co-founder and CEO Jen-Hsun Huang at his keynote address at GPU Technology Conference (GTC) tomorrow (April 6, 2 to 3 am Singapore time).

For those unable to be at GTC in San Jose, NVIDIA is webcasting live on the NVIDIA blog the keynote addresses:

  • April 6, 12 to 2am (Singapore): Jen-Hsun Huang, NVIDIA co-founder and CEO
  • April 7, 2 to 3am (Singapore): Rob High, IBM Watson CTO
  • April 8, 2 to 3 am (Singapore): Gill Pratt, Toyota Research Institute CEO

Monash University launches M3 to accelerate research

M3 launch
Australian Chief Scientist Alan Finkel AO and Monash Professor Ian Smith get ready to press the red button to launch M3.

Monash University is taking research to another level with the launch of M3, the third-generation supercomputer available through the MASSIVE (Multi-modal Australian ScienceS Imaging and Visualisation Environment) facility.

Powered by ultra-high-performance NVIDIA Tesla K80 GPU accelerators, M3 will provide new simulation and real-time data processing capabilities to a wide selection of Australian researchers.

“Our collaboration with NVIDIA will take Monash research to new heights. By coupling some of Australia’s best researchers with NVIDIA’s accelerated computing technology we’re going to see some incredible impact. Our scientists will produce code that runs faster, but more significantly, their focus on deep learning algorithms will produce outcomes that are smarter,” said Professor Ian Smith, Vice Provost (Research and Research Infrastructure), Monash University.

Xenith iCafe opens with 100 NVIDIA GeForce GPU-Powered PCs

Xenith iCafeGamers in northern Thailand, specifically Chiangmai, will get to enjoy premium gaming experience with the opening of Xenith iCafe in the city.

All its 100 PCs are equipped with NVIDIA GeForce GTX 960 GPUs, which deliver advanced performance, power efficiency, and realistic gameplay based on the latest NVIDIA Maxwell technology. They also come with high quality Razer gaming gear – mouse, keyboard and headset – all tailored to give gamers the best experience.

Situated near Chiangmai University , the modern and trendy Xenith iCafe features two gaming zones – a comfort zone and a VIP zone to cater to gamers’ needs as well as to host gaming events. This is a new trend in the iCafe market where owners can better balance cost, performance and functionality while delivering the gaming experience that their customers demand.

NVIDIA adds AI and supercomputing prowess to driverless cars

DRIVE PX_illustrationThe new NVIDIA DRIVE PX 2 is set to give driverless cars a major boost.

Touted at the world’s most powerful engine for in-vehicle artificial intelligence, it allows the automotive industry to use artificial intelligence (AI) to tackle the complexities inherent in autonomous driving. NVIDIA DRIVE PX2 utilises deep learning on NVIDIA’s advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.

“Drivers deal with an infinitely complex world. Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars,” said Jen-Hsun Huang, Co-founder and CEO of NVIDIA. “NVIDIA’s GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs – providing a powerful force for a better future.”